Data Governance & Data Quality | News & Articles

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Retailers Struggle to Maintain Accurate Product Data: How MDM Can Help

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by Angela Guess Sys-Con Media reports, “According to a new eBook titled Mastering Product Information is Everyone’s Business, Product Information Management (PIM) is essential to business processes, the customer experience, and financial performance. However, reliable PIM has been difficult to achieve as almost half (48%) of organizations surveyed struggle to maintain a single version of product information. Based on…

Data Lakes & Best Practices for Enterprise Data Management

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by Angela Guess Barry Devlin of Search Business Analytics recently wrote, “The term data lake has gained quite a few followers of late. I am explicitly not one of them… It appears that the term dates back to 2011, first used by James Dixon, CTO at software vendor Pentaho Corp. Since then, it has been promoted by people…

In Pursuit of True Data Security

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by Angela Guess Ashwin Bolar of Business2Community recently wrote, “A year after Google allegedly offered $1 billion, Facebook forked out $19 billion to snap up the mobile communications service, WhatsApp. But WhatsApp brings its own gold to the table in the form of massive swathes of user information. The acquisition happened under a blanket of promises to…

Semarchy Delivers Infinite-Scale MDM and Information Stewardship to the Enterprise

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by Angela Guess Over the weekend at the Enterprise Data World Conference, Semarchy, the Data Convergence Company, announced “that the Convergence Evolutionary MDM™ platform delivers to customers with infinite scale MDM and information stewardship to support the explosive growth in master data sources. Along with the trend of exponentially growing information, master data volumes grow dramatically…

Ensuring Accuracy of Important Healthcare Data with Data Governance

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by Angela Guess Alison Diana of Information Week recently wrote, “For decades, the data OhioHealth staff collected resided in silos spread across its 10 hospitals and countless departments. Two years ago, the nonprofit healthcare organization began investing in data governance and an enterprise data warehouse to cleanse and safely store data so business users could access,…

RWDG Webinar: How to Write a Data Steward Job Description

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This presentation was given in a live webinar on April 17, 2014 Real-World Data Governance: How to Write a Data Steward Job Description from DATAVERSITY To view just the slides from this presentation, click HERE>> About the Webinar A Data Steward Job Description is a list of job responsibilities that a Data Steward uses for…

RWDG Slides: How to Write a Data Steward Job Description

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This presentation was given in a live webinar on April 17, 2014 Real-World Data Governance: How to Write a Data Steward Job Description from DATAVERSITY To view the On Demand recording of this presentation, click HERE>> About the Webinar A Data Steward Job Description is a list of job responsibilities that a Data Steward uses…

Is Data Governance Dying?

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by Ian Rowlands There was a plaintive note  on LinkedIn recently from Jim Barker, Director of Data Management at Honeywell. You can see his link here — http://lnkd.in/bDyr__Y . He’s conducting a survey for on what firms are doing on Data Governance for a thesis he’s writing. Please review the survey and consider participating. What…

5 Reasons to Consider a ‘Data First’ Strategy

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by Angela Guess Pedro Cardoso of BackOffice Associates recently wrote, “Years of traditional ERP and business intelligence (BI) transformation initiatives have left the vast majority of organizations still struggling to achieve the elusive single version of the truth (SVOT).  Fragmented and loosely coupled IT systems, department-specific point solutions and complex heterogeneous landscapes that are a patchwork…

Natural Language Processing and Your Health

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by Angela Guess Jennifer Webster of MD News reports, “In 2011 and 2012, healthcare information technology publications brimmed with excitement over IBM’s Watson, which was promised to use NLP combined with predictive analytics to make care recommendations for patients by comparing them against large data sets. NLP gave Watson access to a far wider and more…